Your English writing platform
Discover LudwigExact(9)
A similarity score between query and target chemicals is available and sortable in the second column.
The MCS methods benefit from much improved sensitivity as they can find atom-atom or atom-bond equivalence between query and target molecules [11].
A second set of benchmarks (Figure 4) was performed between the CDKMCS and the SMSD on the subset of intersection (45,139 jobs that reported at least one match between query and target molecules) between successful cases reported by both the methods.
I then analyzed the global patterns of interactions between query and target genes.
The minimal domain compactness between query and target proteins was calculated between the domain pair with the most significant alignment.
Of primary interest, however, are genetic interactions that occur within the same biological process because they indicate a close functional relationship between query and target gene.
Similar(51)
The alignment summary presents targeted sequences accession no., species name, target length, gaps, matches and identity between query and targeted sequences.
The goal here would be to achieve a close similarity between the query and target profiles by manipulating the cIFN sequence.
The rationale behind such an approach is to find "globally" analogous features between the query and target molecules under less stringent constraints than the MCS.
In general, LHM algorithms start with identifying and aligning similar binding sites between a query and target database holo proteins, which is then followed by transposing the ligands from target proteins to the query binding site.
Although several heuristic approaches are available using fragment-based chemical similarity searches, they fail to identify exact atom-bond equivalence between the query and target molecules and thus cannot be applied to complex chemical similarity searches, such as searching a complete or partial metabolic pathway.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com